Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	7000
Missing cells	1809
Missing cells (%)	1.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.9 MiB
Average record size in memory	740.6 B

Variable types

NUM	15
CAT	9

Reproduction

Analysis started	2020-06-19 10:02:08.333807
Analysis finished	2020-06-19 10:03:54.508938
Duration	1 minute and 46.18 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`Time_of_service` is highly correlated with `Age`	High correlation
`Age` is highly correlated with `Time_of_service`	High correlation
`Age` has 412 (5.9%) missing values	Missing
`Time_of_service` has 144 (2.1%) missing values	Missing
`VAR2` has 577 (8.2%) missing values	Missing
`VAR4` has 656 (9.4%) missing values	Missing
`Employee_ID` has unique values	Unique
`Time_of_service` has 162 (2.3%) zeros	Zeros
`Time_since_promotion` has 162 (2.3%) zeros	Zeros

Employee_ID
Categorical

UNIQUE

Distinct count	7000
Unique (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

EID_16344	1
EID_3157	1
EID_13589	1
EID_2147	1
EID_9841	1
Other values (6995)	6995

Value	Count	Frequency (%)
EID_16344	1	< 0.1%
EID_3157	1	< 0.1%
EID_13589	1	< 0.1%
EID_2147	1	< 0.1%
EID_9841	1	< 0.1%
EID_21250	1	< 0.1%
EID_6733	1	< 0.1%
EID_20997	1	< 0.1%
EID_20269	1	< 0.1%
EID_21215	1	< 0.1%
EID_20727	1	< 0.1%
EID_10906	1	< 0.1%
EID_5023	1	< 0.1%
EID_21325	1	< 0.1%
EID_16893	1	< 0.1%
EID_8686	1	< 0.1%
EID_8370	1	< 0.1%
EID_25330	1	< 0.1%
EID_7127	1	< 0.1%
EID_22528	1	< 0.1%
EID_14254	1	< 0.1%
EID_21971	1	< 0.1%
EID_15505	1	< 0.1%
EID_7723	1	< 0.1%
EID_24324	1	< 0.1%
Other values (6975)	6975	99.6%

Length

Max length	9
Median length	9
Mean length	8.641571429
Min length	8

Overview of Unicode Properties

Unique unicode characters	14
Unique unicode categories (?)	3
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
E	7000	11.6%
I	7000	11.6%
D	7000	11.6%
_	7000	11.6%
1	5780	9.6%
2	4528	7.5%
3	2994	4.9%
5	2978	4.9%
4	2961	4.9%
9	2685	4.4%
7	2654	4.4%
6	2642	4.4%
0	2635	4.4%
8	2634	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32491	53.7%
Uppercase Letter	21000	34.7%
Connector Punctuation	7000	11.6%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
E	7000	33.3%
I	7000	33.3%
D	7000	33.3%

Most frequent Connector Punctuation characters

Value	Count	Frequency (%)
_	7000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	5780	17.8%
2	4528	13.9%
3	2994	9.2%
5	2978	9.2%
4	2961	9.1%
9	2685	8.3%
7	2654	8.2%
6	2642	8.1%
0	2635	8.1%
8	2634	8.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	39491	65.3%
Latin	21000	34.7%

Most frequent Latin characters

Value	Count	Frequency (%)
E	7000	33.3%
I	7000	33.3%
D	7000	33.3%

Most frequent Common characters

Value	Count	Frequency (%)
_	7000	17.7%
1	5780	14.6%
2	4528	11.5%
3	2994	7.6%
5	2978	7.5%
4	2961	7.5%
9	2685	6.8%
7	2654	6.7%
6	2642	6.7%
0	2635	6.7%
8	2634	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60491	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
E	7000	11.6%
I	7000	11.6%
D	7000	11.6%
_	7000	11.6%
1	5780	9.6%
2	4528	7.5%
3	2994	4.9%
5	2978	4.9%
4	2961	4.9%
9	2685	4.4%
7	2654	4.4%
6	2642	4.4%
0	2635	4.4%
8	2634	4.4%

Gender
Categorical

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

F	4114
M	2886

Value	Count	Frequency (%)
F	4114	58.8%
M	2886	41.2%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
F	4114	58.8%
M	2886	41.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7000	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
F	4114	58.8%
M	2886	41.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7000	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
F	4114	58.8%
M	2886	41.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
F	4114	58.8%
M	2886	41.2%

Age
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct count	47
Unique (%)	0.7%
Missing	412
Missing (%)	5.9%
Infinite	0
Infinite (%)	0.0%

Mean	39.62279902853673
Minimum	19.0
Maximum	65.0
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	19
5-th percentile	21
Q1	27
median	37
Q3	52
95-th percentile	62
Maximum	65
Range	46
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	13.60691994
Coefficient of variation (CV)	0.343411376
Kurtosis	-1.210795731
Mean	39.62279903
Median Absolute Deviation (MAD)	11
Skewness	0.2434874403
Sum	261035
Variance	185.1482702

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
22	235	3.4%
25	235	3.4%
27	231	3.3%
31	218	3.1%
54	212	3.0%
60	211	3.0%
26	210	3.0%
37	208	3.0%
35	205	2.9%
52	199	2.8%
28	194	2.8%
47	193	2.8%
42	193	2.8%
30	191	2.7%
32	189	2.7%
24	185	2.6%
45	184	2.6%
21	171	2.4%
65	152	2.2%
19	151	2.2%
23	148	2.1%
59	136	1.9%
58	122	1.7%
20	122	1.7%
29	115	1.6%
Other values (22)	1978	28.3%
(Missing)	412	5.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	151	2.2%
20	122	1.7%
21	171	2.4%
22	235	3.4%
23	148	2.1%
24	185	2.6%
25	235	3.4%
26	210	3.0%
27	231	3.3%
28	194	2.8%

Value	Count	Frequency (%)
65	152	2.2%
64	95	1.4%
63	73	1.0%
62	69	1.0%
61	63	0.9%
60	211	3.0%
59	136	1.9%
58	122	1.7%
57	92	1.3%
56	94	1.3%

Education_Level
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.1878571428571427
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.06510243
Coefficient of variation (CV)	0.3341123463
Kurtosis	-0.1874168785
Mean	3.187857143
Median Absolute Deviation (MAD)	1
Skewness	-0.4040642036
Sum	22315
Variance	1.134443186

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	2878	41.1%
4	2076	29.7%
1	695	9.9%
2	691	9.9%
5	660	9.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	695	9.9%
2	691	9.9%
3	2878	41.1%
4	2076	29.7%
5	660	9.4%

Value	Count	Frequency (%)
5	660	9.4%
4	2076	29.7%
3	2878	41.1%
2	691	9.9%
1	695	9.9%

Relationship_Status
Categorical

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

Married	4520
Single	2480

Value	Count	Frequency (%)
Married	4520	64.6%
Single	2480	35.4%

Length

Max length	7
Median length	7
Mean length	6.645714286
Min length	6

Overview of Unicode Properties

Unique unicode characters	10
Unique unicode categories (?)	2
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
r	9040	19.4%
i	7000	15.0%
e	7000	15.0%
M	4520	9.7%
a	4520	9.7%
d	4520	9.7%
S	2480	5.3%
n	2480	5.3%
g	2480	5.3%
l	2480	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39520	85.0%
Uppercase Letter	7000	15.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	4520	64.6%
S	2480	35.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
r	9040	22.9%
i	7000	17.7%
e	7000	17.7%
a	4520	11.4%
d	4520	11.4%
n	2480	6.3%
g	2480	6.3%
l	2480	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46520	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
r	9040	19.4%
i	7000	15.0%
e	7000	15.0%
M	4520	9.7%
a	4520	9.7%
d	4520	9.7%
S	2480	5.3%
n	2480	5.3%
g	2480	5.3%
l	2480	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46520	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
r	9040	19.4%
i	7000	15.0%
e	7000	15.0%
M	4520	9.7%
a	4520	9.7%
d	4520	9.7%
S	2480	5.3%
n	2480	5.3%
g	2480	5.3%
l	2480	5.3%

Hometown
Categorical

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

Lebanon	2070
Springfield	1736
Franklin	1523
Washington	1106
Clinton	565

Value	Count	Frequency (%)
Lebanon	2070	29.6%
Springfield	1736	24.8%
Franklin	1523	21.8%
Washington	1106	15.8%
Clinton	565	8.1%

Length

Max length	11
Median length	8
Mean length	8.683571429
Min length	7

Overview of Unicode Properties

Unique unicode characters	21
Unique unicode categories (?)	2
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	12264	20.2%
i	6666	11.0%
a	4699	7.7%
l	3824	6.3%
e	3806	6.3%
o	3741	6.2%
r	3259	5.4%
g	2842	4.7%
L	2070	3.4%
b	2070	3.4%
S	1736	2.9%
p	1736	2.9%
f	1736	2.9%
d	1736	2.9%
t	1671	2.7%
F	1523	2.5%
k	1523	2.5%
W	1106	1.8%
s	1106	1.8%
h	1106	1.8%
C	565	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	53785	88.5%
Uppercase Letter	7000	11.5%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
L	2070	29.6%
S	1736	24.8%
F	1523	21.8%
W	1106	15.8%
C	565	8.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	12264	22.8%
i	6666	12.4%
a	4699	8.7%
l	3824	7.1%
e	3806	7.1%
o	3741	7.0%
r	3259	6.1%
g	2842	5.3%
b	2070	3.8%
p	1736	3.2%
f	1736	3.2%
d	1736	3.2%
t	1671	3.1%
k	1523	2.8%
s	1106	2.1%
h	1106	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60785	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
n	12264	20.2%
i	6666	11.0%
a	4699	7.7%
l	3824	6.3%
e	3806	6.3%
o	3741	6.2%
r	3259	5.4%
g	2842	4.7%
L	2070	3.4%
b	2070	3.4%
S	1736	2.9%
p	1736	2.9%
f	1736	2.9%
d	1736	2.9%
t	1671	2.7%
F	1523	2.5%
k	1523	2.5%
W	1106	1.8%
s	1106	1.8%
h	1106	1.8%
C	565	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60785	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	12264	20.2%
i	6666	11.0%
a	4699	7.7%
l	3824	6.3%
e	3806	6.3%
o	3741	6.2%
r	3259	5.4%
g	2842	4.7%
L	2070	3.4%
b	2070	3.4%
S	1736	2.9%
p	1736	2.9%
f	1736	2.9%
d	1736	2.9%
t	1671	2.7%
F	1523	2.5%
k	1523	2.5%
W	1106	1.8%
s	1106	1.8%
h	1106	1.8%
C	565	0.9%

Unit
Categorical

Distinct count	12
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

IT	1394
Logistics	1173
Sales	943
Operarions	706
R&D	680
Other values (7)	2104

Value	Count	Frequency (%)
IT	1394	19.9%
Logistics	1173	16.8%
Sales	943	13.5%
Operarions	706	10.1%
R&D	680	9.7%
Purchasing	504	7.2%
Accounting and Finance	496	7.1%
Human Resource Management	344	4.9%
Marketing	212	3.0%
Production	211	3.0%
Quality	193	2.8%
Security	144	2.1%

Length

Max length	25
Median length	9
Mean length	8.319
Min length	2

Overview of Unicode Properties

Unique unicode characters	33
Unique unicode categories (?)	4
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
i	5308	9.1%
n	5145	8.8%
s	4843	8.3%
a	4582	7.9%
e	3877	6.7%
c	3864	6.6%
o	3141	5.4%
r	2827	4.9%
t	2773	4.8%
g	2729	4.7%
u	2236	3.8%
	1680	2.9%
I	1394	2.4%
T	1394	2.4%
L	1173	2.0%
l	1136	2.0%
S	1087	1.9%
R	1024	1.8%
P	715	1.2%
d	707	1.2%
O	706	1.2%
p	706	1.2%
m	688	1.2%
&	680	1.2%
D	680	1.2%
Other values (8)	3138	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45615	78.3%
Uppercase Letter	10258	17.6%
Space Separator	1680	2.9%
Other Punctuation	680	1.2%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
I	1394	13.6%
T	1394	13.6%
L	1173	11.4%
S	1087	10.6%
R	1024	10.0%
P	715	7.0%
O	706	6.9%
D	680	6.6%
M	556	5.4%
A	496	4.8%
F	496	4.8%
H	344	3.4%
Q	193	1.9%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
i	5308	11.6%
n	5145	11.3%
s	4843	10.6%
a	4582	10.0%
e	3877	8.5%
c	3864	8.5%
o	3141	6.9%
r	2827	6.2%
t	2773	6.1%
g	2729	6.0%
u	2236	4.9%
l	1136	2.5%
d	707	1.5%
p	706	1.5%
m	688	1.5%
h	504	1.1%
y	337	0.7%
k	212	0.5%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	1680	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
&	680	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55873	95.9%
Common	2360	4.1%

Most frequent Latin characters

Value	Count	Frequency (%)
i	5308	9.5%
n	5145	9.2%
s	4843	8.7%
a	4582	8.2%
e	3877	6.9%
c	3864	6.9%
o	3141	5.6%
r	2827	5.1%
t	2773	5.0%
g	2729	4.9%
u	2236	4.0%
I	1394	2.5%
T	1394	2.5%
L	1173	2.1%
l	1136	2.0%
S	1087	1.9%
R	1024	1.8%
P	715	1.3%
d	707	1.3%
O	706	1.3%
p	706	1.3%
m	688	1.2%
D	680	1.2%
M	556	1.0%
h	504	0.9%
Other values (6)	2078	3.7%

Most frequent Common characters

Value	Count	Frequency (%)
	1680	71.2%
&	680	28.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58233	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
i	5308	9.1%
n	5145	8.8%
s	4843	8.3%
a	4582	7.9%
e	3877	6.7%
c	3864	6.6%
o	3141	5.4%
r	2827	4.9%
t	2773	4.8%
g	2729	4.7%
u	2236	3.8%
	1680	2.9%
I	1394	2.4%
T	1394	2.4%
L	1173	2.0%
l	1136	2.0%
S	1087	1.9%
R	1024	1.8%
P	715	1.2%
d	707	1.2%
O	706	1.2%
p	706	1.2%
m	688	1.2%
&	680	1.2%
D	680	1.2%
Other values (8)	3138	5.4%

Decision_skill_possess
Categorical

Distinct count	4
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

Conceptual	1756
Analytical	1755
Directive	1753
Behavioral	1736

Value	Count	Frequency (%)
Conceptual	1756	25.1%
Analytical	1755	25.1%
Directive	1753	25.0%
Behavioral	1736	24.8%

Length

Max length	10
Median length	10
Mean length	9.749571429
Min length	9

Overview of Unicode Properties

Unique unicode characters	18
Unique unicode categories (?)	2
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	8738	12.8%
l	7002	10.3%
e	6998	10.3%
i	6997	10.3%
c	5264	7.7%
t	5264	7.7%
n	3511	5.1%
o	3492	5.1%
v	3489	5.1%
r	3489	5.1%
C	1756	2.6%
p	1756	2.6%
u	1756	2.6%
A	1755	2.6%
y	1755	2.6%
D	1753	2.6%
B	1736	2.5%
h	1736	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	61247	89.7%
Uppercase Letter	7000	10.3%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
C	1756	25.1%
A	1755	25.1%
D	1753	25.0%
B	1736	24.8%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	8738	14.3%
l	7002	11.4%
e	6998	11.4%
i	6997	11.4%
c	5264	8.6%
t	5264	8.6%
n	3511	5.7%
o	3492	5.7%
v	3489	5.7%
r	3489	5.7%
p	1756	2.9%
u	1756	2.9%
y	1755	2.9%
h	1736	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	68247	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
a	8738	12.8%
l	7002	10.3%
e	6998	10.3%
i	6997	10.3%
c	5264	7.7%
t	5264	7.7%
n	3511	5.1%
o	3492	5.1%
v	3489	5.1%
r	3489	5.1%
C	1756	2.6%
p	1756	2.6%
u	1756	2.6%
A	1755	2.6%
y	1755	2.6%
D	1753	2.6%
B	1736	2.5%
h	1736	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68247	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	8738	12.8%
l	7002	10.3%
e	6998	10.3%
i	6997	10.3%
c	5264	7.7%
t	5264	7.7%
n	3511	5.1%
o	3492	5.1%
v	3489	5.1%
r	3489	5.1%
C	1756	2.6%
p	1756	2.6%
u	1756	2.6%
A	1755	2.6%
y	1755	2.6%
D	1753	2.6%
B	1736	2.5%
h	1736	2.5%

Time_of_service
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct count	44
Unique (%)	0.6%
Missing	144
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%

Mean	13.385064177362894
Minimum	0.0
Maximum	43.0
Zeros	162
Zeros (%)	2.3%
Memory size	54.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	10
Q3	21
95-th percentile	34
Maximum	43
Range	43
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	10.3641884
Coefficient of variation (CV)	0.7743099522
Kurtosis	-0.3864286041
Mean	13.38506418
Median Absolute Deviation (MAD)	6
Skewness	0.8003752974
Sum	91768
Variance	107.4164013

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	545	7.8%
5	503	7.2%
3	471	6.7%
4	439	6.3%
2	297	4.2%
8	276	3.9%
7	258	3.7%
10	218	3.1%
9	205	2.9%
13	195	2.8%
12	191	2.7%
15	178	2.5%
11	178	2.5%
14	175	2.5%
0	162	2.3%
18	154	2.2%
16	150	2.1%
22	146	2.1%
20	142	2.0%
21	137	2.0%
24	129	1.8%
1	127	1.8%
17	124	1.8%
19	122	1.7%
23	118	1.7%
Other values (19)	1216	17.4%
(Missing)	144	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	162	2.3%
1	127	1.8%
2	297	4.2%
3	471	6.7%
4	439	6.3%
5	503	7.2%
6	545	7.8%
7	258	3.7%
8	276	3.9%
9	205	2.9%

Value	Count	Frequency (%)
43	8	0.1%
42	17	0.2%
41	18	0.3%
40	24	0.3%
39	29	0.4%
38	48	0.7%
37	51	0.7%
36	51	0.7%
35	60	0.9%
34	55	0.8%

Time_since_promotion
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.367142857142857
Minimum	0
Maximum	4
Zeros	162
Zeros (%)	2.3%
Memory size	54.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.149395118
Coefficient of variation (CV)	0.4855622105
Kurtosis	-1.162237335
Mean	2.367142857
Median Absolute Deviation (MAD)	1
Skewness	0.009156273346
Sum	16570
Variance	1.321109138

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	1819	26.0%
2	1811	25.9%
3	1703	24.3%
4	1505	21.5%
0	162	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	162	2.3%
1	1819	26.0%
2	1811	25.9%
3	1703	24.3%
4	1505	21.5%

Value	Count	Frequency (%)
4	1505	21.5%
3	1703	24.3%
2	1811	25.9%
1	1819	26.0%
0	162	2.3%

growth_rate
Real number (ℝ_≥0)

Distinct count	55
Unique (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	47.06428571428572
Minimum	20
Maximum	74
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	20
5-th percentile	23
Q1	33
median	47
Q3	61
95-th percentile	71
Maximum	74
Range	54
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	15.76140627
Coefficient of variation (CV)	0.334891012
Kurtosis	-1.202856923
Mean	47.06428571
Median Absolute Deviation (MAD)	14
Skewness	-0.0160689077
Sum	329450
Variance	248.4219276

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
45	147	2.1%
64	147	2.1%
51	145	2.1%
61	143	2.0%
59	141	2.0%
24	140	2.0%
56	140	2.0%
58	140	2.0%
37	139	2.0%
52	139	2.0%
30	138	2.0%
34	137	2.0%
54	136	1.9%
23	136	1.9%
67	135	1.9%
29	135	1.9%
32	135	1.9%
66	135	1.9%
31	134	1.9%
49	133	1.9%
42	133	1.9%
62	132	1.9%
27	131	1.9%
39	130	1.9%
70	130	1.9%
Other values (30)	3569	51.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	123	1.8%
21	113	1.6%
22	113	1.6%
23	136	1.9%
24	140	2.0%
25	130	1.9%
26	99	1.4%
27	131	1.9%
28	128	1.8%
29	135	1.9%

Value	Count	Frequency (%)
74	107	1.5%
73	122	1.7%
72	116	1.7%
71	128	1.8%
70	130	1.9%
69	129	1.8%
68	128	1.8%
67	135	1.9%
66	135	1.9%
65	107	1.5%

Travel_Rate
Categorical

Distinct count	3
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

1	3827
0	2224
2	949

Value	Count	Frequency (%)
1	3827	54.7%
0	2224	31.8%
2	949	13.6%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	3827	54.7%
0	2224	31.8%
2	949	13.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	3827	54.7%
0	2224	31.8%
2	949	13.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	7000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	3827	54.7%
0	2224	31.8%
2	949	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	3827	54.7%
0	2224	31.8%
2	949	13.6%

Post_Level
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.798
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.163721018
Coefficient of variation (CV)	0.4159117289
Kurtosis	-0.6512604004
Mean	2.798
Median Absolute Deviation (MAD)	1
Skewness	0.2145265274
Sum	19586
Variance	1.354246607

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	2435	34.8%
2	1786	25.5%
4	1046	14.9%
1	1035	14.8%
5	698	10.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1035	14.8%
2	1786	25.5%
3	2435	34.8%
4	1046	14.9%
5	698	10.0%

Value	Count	Frequency (%)
5	698	10.0%
4	1046	14.9%
3	2435	34.8%
2	1786	25.5%
1	1035	14.8%

Pay_Scale
Real number (ℝ_≥0)

Distinct count	10
Unique (%)	0.1%
Missing	9
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	6.0062938063224145
Minimum	1.0
Maximum	10.0
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	6
Q3	8
95-th percentile	9
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.05843542
Coefficient of variation (CV)	0.342713075
Kurtosis	-0.4450642105
Mean	6.006293806
Median Absolute Deviation (MAD)	2
Skewness	-0.2599763222
Sum	41990
Variance	4.237156377

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	1392	19.9%
6	1284	18.3%
5	1160	16.6%
4	983	14.0%
7	811	11.6%
9	464	6.6%
2	277	4.0%
3	255	3.6%
10	209	3.0%
1	156	2.2%
(Missing)	9	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	156	2.2%
2	277	4.0%
3	255	3.6%
4	983	14.0%
5	1160	16.6%
6	1284	18.3%
7	811	11.6%
8	1392	19.9%
9	464	6.6%
10	209	3.0%

Value	Count	Frequency (%)
10	209	3.0%
9	464	6.6%
8	1392	19.9%
7	811	11.6%
6	1284	18.3%
5	1160	16.6%
4	983	14.0%
3	255	3.6%
2	277	4.0%
1	156	2.2%

Compensation_and_Benefits
Categorical

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	54.8 KiB

type2	3945
type3	2382
type4	353
type0	187
type1	133

Value	Count	Frequency (%)
type2	3945	56.4%
type3	2382	34.0%
type4	353	5.0%
type0	187	2.7%
type1	133	1.9%

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Overview of Unicode Properties

Unique unicode characters	9
Unique unicode categories (?)	2
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
t	7000	20.0%
y	7000	20.0%
p	7000	20.0%
e	7000	20.0%
2	3945	11.3%
3	2382	6.8%
4	353	1.0%
0	187	0.5%
1	133	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28000	80.0%
Decimal Number	7000	20.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
t	7000	25.0%
y	7000	25.0%
p	7000	25.0%
e	7000	25.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	3945	56.4%
3	2382	34.0%
4	353	5.0%
0	187	2.7%
1	133	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28000	80.0%
Common	7000	20.0%

Most frequent Latin characters

Value	Count	Frequency (%)
t	7000	25.0%
y	7000	25.0%
p	7000	25.0%
e	7000	25.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	3945	56.4%
3	2382	34.0%
4	353	5.0%
0	187	2.7%
1	133	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
t	7000	20.0%
y	7000	20.0%
p	7000	20.0%
e	7000	20.0%
2	3945	11.3%
3	2382	6.8%
4	353	1.0%
0	187	0.5%
1	133	0.4%

Work_Life_balance
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	11
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%

Mean	2.3878952639862643
Minimum	1.0
Maximum	5.0
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	5
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.122786313
Coefficient of variation (CV)	0.4701991455
Kurtosis	-1.091044398
Mean	2.387895264
Median Absolute Deviation (MAD)	1
Skewness	0.1943418895
Sum	16689
Variance	1.260649104

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	2042	29.2%
3	2023	28.9%
2	1615	23.1%
4	1197	17.1%
5	112	1.6%
(Missing)	11	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2042	29.2%
2	1615	23.1%
3	2023	28.9%
4	1197	17.1%
5	112	1.6%

Value	Count	Frequency (%)
5	112	1.6%
4	1197	17.1%
3	2023	28.9%
2	1615	23.1%
1	2042	29.2%

VAR1
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.0985714285714288
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	3
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8363769862
Coefficient of variation (CV)	0.2699234165
Kurtosis	0.9634666813
Mean	3.098571429
Median Absolute Deviation (MAD)	0
Skewness	-0.1618374522
Sum	21690
Variance	0.699526463

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	4193	59.9%
4	1372	19.6%
2	716	10.2%
5	368	5.3%
1	351	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	351	5.0%
2	716	10.2%
3	4193	59.9%
4	1372	19.6%
5	368	5.3%

Value	Count	Frequency (%)
5	368	5.3%
4	1372	19.6%
3	4193	59.9%
2	716	10.2%
1	351	5.0%

VAR2
Real number (ℝ)

MISSING

Distinct count	5
Unique (%)	0.1%
Missing	577
Missing (%)	8.2%
Infinite	0
Infinite (%)	0.0%

Mean	-0.008125969173283523
Minimum	-1.8176
Maximum	1.6081
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	-1.8176
5-th percentile	-1.8176
Q1	-0.9612
median	-0.1048
Q3	0.7516
95-th percentile	1.6081
Maximum	1.6081
Range	3.4257
Interquartile range (IQR)	1.7128

Descriptive statistics

Standard deviation	0.9898497993
Coefficient of variation (CV)	-121.8131374
Kurtosis	-0.7839593532
Mean	-0.008125969173
Median Absolute Deviation (MAD)	0.8564
Skewness	-0.4284199324
Sum	-52.1931
Variance	0.9798026251

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.7516	2458	35.1%
-0.1048	1629	23.3%
-0.9612	1047	15.0%
-1.8176	816	11.7%
1.6081	473	6.8%
(Missing)	577	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1.8176	816	11.7%
-0.9612	1047	15.0%
-0.1048	1629	23.3%
0.7516	2458	35.1%
1.6081	473	6.8%

Value	Count	Frequency (%)
1.6081	473	6.8%
0.7516	2458	35.1%
-0.1048	1629	23.3%
-0.9612	1047	15.0%
-1.8176	816	11.7%

VAR3
Real number (ℝ)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-0.013606457142857117
Minimum	-2.7762
Maximum	1.8688
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	-2.7762
5-th percentile	-1.615
Q1	-0.4537
median	-0.4537
Q3	0.7075
95-th percentile	1.8688
Maximum	1.8688
Range	4.645
Interquartile range (IQR)	1.1612

Descriptive statistics

Standard deviation	0.9869327185
Coefficient of variation (CV)	-72.53414376
Kurtosis	0.5009805111
Mean	-0.01360645714
Median Absolute Deviation (MAD)	1.1612
Skewness	-0.2337820111
Sum	-95.2452
Variance	0.9740361908

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
-0.4537	3363	48.0%
0.7075	2329	33.3%
1.8688	610	8.7%
-1.615	500	7.1%
-2.7762	198	2.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2.7762	198	2.8%
-1.615	500	7.1%
-0.4537	3363	48.0%
0.7075	2329	33.3%
1.8688	610	8.7%

Value	Count	Frequency (%)
1.8688	610	8.7%
0.7075	2329	33.3%
-0.4537	3363	48.0%
-1.615	500	7.1%
-2.7762	198	2.8%

VAR4
Categorical

MISSING

Distinct count	3
Unique (%)	< 0.1%
Missing	656
Missing (%)	9.4%
Memory size	54.8 KiB

2	4491
1	1272
3	581

Value	Count	Frequency (%)
2	4491	64.2%
1	1272	18.2%
3	581	8.3%
(Missing)	656	9.4%

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	7
Unique unicode categories (?)	3
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
.	6344	30.2%
0	6344	30.2%
2	4491	21.4%
n	1312	6.2%
1	1272	6.1%
a	656	3.1%
3	581	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12688	60.4%
Other Punctuation	6344	30.2%
Lowercase Letter	1968	9.4%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	6344	50.0%
2	4491	35.4%
1	1272	10.0%
3	581	4.6%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	6344	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	1312	66.7%
a	656	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	19032	90.6%
Latin	1968	9.4%

Most frequent Common characters

Value	Count	Frequency (%)
.	6344	33.3%
0	6344	33.3%
2	4491	23.6%
1	1272	6.7%
3	581	3.1%

Most frequent Latin characters

Value	Count	Frequency (%)
n	1312	66.7%
a	656	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	6344	30.2%
0	6344	30.2%
2	4491	21.4%
n	1312	6.2%
1	1272	6.1%
a	656	3.1%
3	581	2.8%

VAR5
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.834142857142857
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9389448085
Coefficient of variation (CV)	0.3312976289
Kurtosis	-0.4137222333
Mean	2.834142857
Median Absolute Deviation (MAD)	1
Skewness	0.06270184648
Sum	19839
Variance	0.8816173535

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	2758	39.4%
2	2085	29.8%
4	1450	20.7%
1	485	6.9%
5	222	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	485	6.9%
2	2085	29.8%
3	2758	39.4%
4	1450	20.7%
5	222	3.2%

Value	Count	Frequency (%)
5	222	3.2%
4	1450	20.7%
3	2758	39.4%
2	2085	29.8%
1	485	6.9%

VAR6
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.101285714285714
Minimum	5
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	5
5-th percentile	5
Q1	6
median	7
Q3	8
95-th percentile	9
Maximum	9
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.164262117
Coefficient of variation (CV)	0.1639508905
Kurtosis	-0.8240199302
Mean	7.101285714
Median Absolute Deviation (MAD)	1
Skewness	-0.4088799548
Sum	49709
Variance	1.355506276

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	2661	38.0%
7	1734	24.8%
6	1174	16.8%
5	910	13.0%
9	521	7.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	910	13.0%
6	1174	16.8%
7	1734	24.8%
8	2661	38.0%
9	521	7.4%

Value	Count	Frequency (%)
9	521	7.4%
8	2661	38.0%
7	1734	24.8%
6	1174	16.8%
5	910	13.0%

VAR7
Real number (ℝ_≥0)

Distinct count	5
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.257
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	54.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9253194982
Coefficient of variation (CV)	0.2841017802
Kurtosis	0.350866366
Mean	3.257
Median Absolute Deviation (MAD)	0
Skewness	0.06815851154
Sum	22799
Variance	0.8562161737

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	3926	56.1%
4	1320	18.9%
5	840	12.0%
2	627	9.0%
1	287	4.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	287	4.1%
2	627	9.0%
3	3926	56.1%
4	1320	18.9%
5	840	12.0%

Value	Count	Frequency (%)
5	840	12.0%
4	1320	18.9%
3	3926	56.1%
2	627	9.0%
1	287	4.1%

Attrition_rate
Real number (ℝ_≥0)

Distinct count	3317
Unique (%)	47.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.18937612857142858
Minimum	0.0
Maximum	0.9959
Zeros	4
Zeros (%)	0.1%
Memory size	54.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.013295
Q1	0.0704
median	0.14265
Q3	0.235
95-th percentile	0.648855
Maximum	0.9959
Range	0.9959
Interquartile range (IQR)	0.1646

Descriptive statistics

Standard deviation	0.1857532778
Coefficient of variation (CV)	0.9808695488
Kurtosis	4.410103544
Mean	0.1893761286
Median Absolute Deviation (MAD)	0.0793
Skewness	2.056875961
Sum	1325.6329
Variance	0.03450428021

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.1042	10	0.1%
0.0312	9	0.1%
0.1294	9	0.1%
0.037	8	0.1%
0.0015	8	0.1%
0.15	8	0.1%
0.1506	8	0.1%
0.1761	7	0.1%
0.1413	7	0.1%
0.0678	7	0.1%
0.1609	7	0.1%
0.0579	7	0.1%
0.1153	7	0.1%
0.0293	7	0.1%
0.1514	7	0.1%
0.1879	7	0.1%
0.014	7	0.1%
0.0482	7	0.1%
0.0335	7	0.1%
0.1125	7	0.1%
0.0026	7	0.1%
0.0059	7	0.1%
0.1058	7	0.1%
0.0366	7	0.1%
0.1611	7	0.1%
Other values (3292)	6814	97.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	0.1%
0.0001	3	< 0.1%
0.0002	3	< 0.1%
0.0003	2	< 0.1%
0.0005	1	< 0.1%
0.0006	1	< 0.1%
0.0007	2	< 0.1%
0.0008	3	< 0.1%
0.0009	4	0.1%
0.001	4	0.1%

Value	Count	Frequency (%)
0.9959	1	< 0.1%
0.9957	1	< 0.1%
0.993	1	< 0.1%
0.991	1	< 0.1%
0.9897	1	< 0.1%
0.9886	1	< 0.1%
0.9882	1	< 0.1%
0.987	1	< 0.1%
0.9865	1	< 0.1%
0.9853	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	Employee_ID	Gender	Age	Education_Level	Relationship_Status	Hometown	Unit	Decision_skill_possess	Time_of_service	Time_since_promotion	growth_rate	Travel_Rate	Post_Level	Pay_Scale	Compensation_and_Benefits	Work_Life_balance	VAR1	VAR2	VAR3	VAR4	VAR5	VAR6	VAR7	Attrition_rate
0	EID_23371	F	42.0	4	Married	Franklin	IT	Conceptual	4.0	4	33	1	1	7.0	type2	3.0	4	0.7516	1.8688	2.0	4	5	3	0.1841
1	EID_18000	M	24.0	3	Single	Springfield	Logistics	Analytical	5.0	4	36	0	3	6.0	type2	4.0	3	-0.9612	-0.4537	2.0	3	5	3	0.0670
2	EID_3891	F	58.0	3	Married	Clinton	Quality	Conceptual	27.0	3	51	0	2	8.0	type2	1.0	4	-0.9612	-0.4537	3.0	3	8	3	0.0851
3	EID_17492	F	26.0	3	Single	Lebanon	Human Resource Management	Behavioral	4.0	3	56	1	3	8.0	type2	1.0	3	-1.8176	-0.4537	NaN	3	7	3	0.0668
4	EID_22534	F	31.0	1	Married	Springfield	Logistics	Conceptual	5.0	4	62	1	3	2.0	type3	3.0	1	0.7516	-0.4537	2.0	2	8	2	0.1827
5	EID_2278	M	54.0	3	Married	Lebanon	Purchasing	Conceptual	19.0	1	21	2	5	9.0	type2	1.0	3	-1.8176	1.8688	2.0	2	8	3	0.7613
6	EID_18588	F	21.0	4	Married	Springfield	Purchasing	Directive	2.0	1	50	1	1	6.0	type2	2.0	3	-0.9612	0.7075	2.0	3	7	3	0.2819
7	EID_1235	F	NaN	3	Married	Springfield	Sales	Directive	34.0	4	23	1	4	6.0	type3	2.0	3	-0.1048	-0.4537	2.0	3	9	3	0.1169
8	EID_10197	M	40.0	4	Single	Springfield	Production	Analytical	13.0	1	49	0	1	9.0	type0	4.0	1	NaN	1.8688	2.0	5	6	3	0.1968
9	EID_21262	M	45.0	3	Married	Lebanon	IT	Directive	21.0	4	34	0	2	5.0	type3	4.0	3	0.7516	-0.4537	2.0	4	8	3	0.2870

Last rows

	Employee_ID	Gender	Age	Education_Level	Relationship_Status	Hometown	Unit	Decision_skill_possess	Time_of_service	Time_since_promotion	growth_rate	Travel_Rate	Post_Level	Pay_Scale	Compensation_and_Benefits	Work_Life_balance	VAR1	VAR2	VAR3	VAR4	VAR5	VAR6	VAR7	Attrition_rate
6990	EID_20545	M	22.0	4	Married	Lebanon	Logistics	Analytical	3.0	3	43	1	3	10.0	type3	3.0	3	1.6081	0.7075	3.0	2	8	2	0.2523
6991	EID_17275	M	26.0	5	Married	Franklin	Accounting and Finance	Conceptual	2.0	2	51	1	3	5.0	type2	2.0	2	0.7516	0.7075	2.0	4	6	3	0.2265
6992	EID_19922	F	26.0	1	Married	Franklin	Accounting and Finance	Analytical	4.0	2	52	1	3	3.0	type2	1.0	1	-0.1048	0.7075	2.0	3	8	3	0.2238
6993	EID_12529	M	33.0	4	Married	Franklin	Logistics	Directive	7.0	4	66	2	4	6.0	type3	2.0	3	-0.1048	-0.4537	2.0	4	7	3	0.2569
6994	EID_11159	M	33.0	3	Married	Springfield	Accounting and Finance	Behavioral	9.0	3	34	0	1	8.0	type2	4.0	4	-0.1048	1.8688	2.0	4	7	2	0.0480
6995	EID_16328	F	23.0	5	Married	Franklin	Operarions	Behavioral	4.0	1	20	1	2	6.0	type3	3.0	1	0.7516	-0.4537	2.0	3	7	3	0.7839
6996	EID_8387	F	44.0	1	Married	Lebanon	R&D	Analytical	16.0	2	59	0	2	4.0	type3	3.0	2	-0.1048	-2.7762	2.0	4	8	4	0.1055
6997	EID_8077	F	49.0	3	Single	Springfield	IT	Directive	10.0	1	59	1	2	3.0	type2	4.0	2	-0.1048	-0.4537	2.0	4	8	3	0.7847
6998	EID_19597	F	47.0	3	Married	Washington	Sales	Behavioral	24.0	1	21	1	5	8.0	type0	2.0	4	0.7516	1.8688	2.0	3	6	3	0.4162
6999	EID_1640	F	58.0	3	Married	Franklin	IT	Directive	22.0	2	74	0	4	5.0	type2	3.0	3	-0.1048	-1.6150	3.0	4	5	3	0.0910

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Connector Punctuation characters

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most frequent Other Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Lowercase Letter characters

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most frequent Other Punctuation characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Common characters

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters